ReviewApplied and environmental microbiology2026
Microbial interactions in facilitating antibiotic activity and resistance evolution.
Review in Applied and environmental microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- Microbiome ecology and antibiotic treatment failure: resistance spread, microbial competition and community engineering.Microbial genomics · 2026Review
- Beyond Antibiotics: Traditional Chinese Medicine and Flavonoids in the Management of Endometritis.Veterinary sciences · 2026Review
- Resistance variation and bacterial interactions shape adaptation of a genetically diverse pathogen population to antibiotic therapy.The ISME journal · 2026Article
- Antibiotics and priority effects on colonizing resistant Escherichia coli strain assemblages in a community setting.PloS one · 2026Article
- Cooperative antibiotic resistance in bacteria: beyond biofilms.Frontiers in microbiology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
In polymicrobial communities, microorganisms do not exist in isolation but engage in complex and dynamic interactions. Emerging evidence indicates that these microbial interactions can profoundly influence key aspects of antibiotic action, including antibiotic activity and the emergence and dissemination of antibiotic resistance. This mini-review examines the mechanistic pathways through which intra- and inter-specific interactions facilitate both individual and community-level responses to antibiotic treatment. Such interactions can also reshape the selective pressures imposed by antibiotics, thereby altering evolutionary trajectories toward resistance. We emphasize the importance of considering the ecological context of microbial communities as essential for advancing our understanding of antibiotic resistance and for developing more effective and sustainable antibiotic strategies.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.